Zero-shot Generalization.   
We evaluate the generalization performance of our method RIAV-MVS from ScanNet to other indoor datasets without any fine-tuning. Tab. REF  shows the results, given the methods trained on ScanNet [1]} and directly tested on 7-scenes [2]} and RGB-D Scenes V2 [3]}. Our models outperforms the baselines, and our three variants all have strong generalization performance.
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